About the Role
The role involves building and maintaining high-performance software systems that process large-scale financial data to support strategy research and decision-making.
Responsibilities
- Design and implement scalable data processing pipelines
- Collaborate with researchers to translate models into production code
- Optimize system performance for speed and reliability
- Develop tools for data validation and quality assurance
- Support real-time and batch analytics workflows
- Maintain robust software architecture for research infrastructure
- Diagnose and resolve complex technical issues
- Ensure accuracy and consistency in analytical outputs
- Integrate new data sources into existing frameworks
- Contribute to codebase maintainability and documentation
- Work closely with quantitative researchers on algorithm implementation
- Improve testing frameworks for analytical software
- Monitor system behavior and performance metrics
- Participate in architectural design discussions
- Implement security practices for data handling
- Support deployment and configuration management
- Enhance debugging capabilities for research workflows
- Evaluate new technologies for potential adoption
- Ensure reproducibility of computational results
- Maintain version control and collaboration standards
- Streamline development-to-production pipelines
- Assist in defining software requirements
- Contribute to reliability and fault tolerance
- Support cross-team technical initiatives
- Promote best practices in software engineering
Nice to Have
- Advanced degree in computer science, engineering, or related technical field
- Prior work in quantitative finance or algorithmic trading
- Experience with real-time data processing systems
- Familiarity with machine learning workflows
- Knowledge of statistical analysis tools
- Background in high-frequency data handling
- Experience with cloud infrastructure
- Exposure to formal verification methods
- Involvement in open-source projects
- Publication record in technical or research venues
Compensation
Competitive salary with performance-based incentives
Work Arrangement
On-site with limited remote flexibility
Team
Collaborative, research-driven environment focused on quantitative analysis
Research Integration
Candidates will bridge software engineering and quantitative research, ensuring that analytical models are implemented accurately and efficiently in production environments.
Technology Stack
The team uses low-level programming languages, custom data storage solutions, and in-house frameworks optimized for speed and precision in financial data analysis.
Available for qualified candidates
